Top Machine Learning Jobs in Seattle, WA

As a Machine Learning Engineer, you will create and evaluate models that drive value, ensure code quality, and build scalable products while mentoring others.

The Staff Machine Learning Engineer will create models for user and advertiser value, perform code reviews, build scalable products, and solve ambiguous problems.

The Machine Learning Engineer will create models for users and advertisers, evaluate technical tradeoffs, ensure code quality, and build scalable products.

Lead the development of Generative AI applications for advertising at Snap, enhancing user experiences and advertising effectiveness through advanced machine learning techniques.

The Staff Software Engineer will design and optimize ML Infrastructure, develop high-performance inference systems, and collaborate with ML engineers on production models.

As a Machine Learning Engineer, you'll build and monitor ML pipelines, implement ML Ops, and enhance ML engineering platforms while collaborating with client teams.

As a Machine Learning Engineer II, you will enhance product discovery through data science, model deployment, and collaboration with engineering teams.

The Principal Software Engineer will oversee technical strategy and architecture for ML Inference services, scale engineering components, and advocate for best practices in system design and performance.

You will design, develop, and deploy machine learning models for recommendations and ranking, impacting the customer experience. Collaboration with engineers and product managers is expected.

Design and maintain distributed systems infrastructure, including GPU clusters and network architectures. Implement monitoring and optimize storage solutions for AI/ML workloads.

Design and implement computer vision models for 3D dental applications, focusing on generative AI and MLOps. Collaborate with research and product teams for enhancements and ensure best practices.

The Staff Machine Learning Engineer will lead the development of AI architectures, collaborate across teams, optimize ML systems, and ensure adherence to best practices in machine learning, driving innovation in AI applications.

As a Machine Learning Engineer I, you will develop models to assess creditworthiness, implement data pipelines, and collaborate with engineering teams at Affirm.

Lead the Ads Quality team to innovate AI and ML solutions for optimizing ad bidding and campaign performance while mentoring engineers and shaping engineering culture.

As a Lead Machine Learning Engineer, you will build deep learning models, design scalable systems, and collaborate with an experienced team to enhance bidding decision-making in auctions.

Lead the development of embedded software for AI-driven video solutions at Samsara, focusing on technology choices and architectural patterns for impactful products.

As a Machine Learning Engineer, you will enhance ML productivity, design algorithms, and collaborate cross-functionally to improve credit underwriting models.